Merge remote-tracking branch 'upstream/main' into ants2d

Author: kandersolar

.github/PULL_REQUEST_TEMPLATE.md

@@ -2,6 +2,7 @@
 
  - [ ] Closes #xxxx
  - [ ] I am familiar with the [contributing guidelines](https://pvlib-python.readthedocs.io/en/latest/contributing/index.html)
+ - [ ] I attest that all AI-generated material has been vetted for accuracy and is in compliance with the pvlib license
  - [ ] Tests added
  - [ ] Updates entries in [`docs/sphinx/source/reference`](https://github.com/pvlib/pvlib-python/blob/main/docs/sphinx/source/reference) for API changes.
  - [ ] Adds description and name entries in the appropriate "what's new" file in [`docs/sphinx/source/whatsnew`](https://github.com/pvlib/pvlib-python/tree/main/docs/sphinx/source/whatsnew) for all changes. Includes link to the GitHub Issue with `` :issue:`num` `` or this Pull Request with `` :pull:`num` ``. Includes contributor name and/or GitHub username (link with `` :ghuser:`user` ``).

.github/workflows/pytest-remote-data.yml

@@ -56,7 +56,7 @@ jobs:
     strategy:
       fail-fast: false  # don't cancel other matrix jobs when one fails
       matrix:
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         suffix: ['']  # the alternative to "-min"
         include:
           - python-version: "3.10"
@@ -96,10 +96,13 @@ jobs:
         shell: bash -l {0}  # necessary for conda env to be active
         env:
           # copy GitHub Secrets into environment variables for the tests to access
-          NREL_API_KEY: ${{ secrets.NRELAPIKEY }}
+          NLR_API_KEY: ${{ secrets.NRELAPIKEY }}
           SOLARANYWHERE_API_KEY: ${{ secrets.SOLARANYWHERE_API_KEY }}
           BSRN_FTP_USERNAME: ${{ secrets.BSRN_FTP_USERNAME }}
           BSRN_FTP_PASSWORD: ${{ secrets.BSRN_FTP_PASSWORD }}
+          ECMWF_API_KEY: ${{ secrets.ECMWF_API_KEY }}
+          EARTHDATA_USERNAME: ${{ secrets.EARTHDATA_USERNAME }}
+          EARTHDATA_PASSWORD: ${{ secrets.EARTHDATA_PASSWORD }}
         run: pytest tests/iotools --cov=./ --cov-report=xml --remote-data
 
       - name: Upload coverage to Codecov

.github/workflows/pytest.yml

@@ -12,7 +12,7 @@ jobs:
       fail-fast: false  # don't cancel other matrix jobs when one fails
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         environment-type: [conda, bare]
         suffix: ['']  # placeholder as an alternative to "-min"
         include:

.github/workflows/top-ranked-issues.yml

@@ -31,4 +31,4 @@ jobs:
 
       - name: Run update_top_ranking_issues.py
         run: |
-          python ./scripts/update_top_ranking_issues.py
+          python .github/workflows/update_top_ranking_issues.py

scripts/update_top_ranking_issues.py …b/workflows/update_top_ranking_issues.pyscripts/update_top_ranking_issues.py renamed to .github/workflows/update_top_ranking_issues.py scripts/update_top_ranking_issues.py renamed to .github/workflows/update_top_ranking_issues.py

@@ -0,0 +1,23 @@
+name: Welcome First-Time Contributor
+
+on:
+  pull_request_target:
+    types: opened
+
+jobs:
+  welcome:
+    runs-on: ubuntu-latest
+    permissions:
+      pull-requests: write
+    steps:
+      - uses: plbstl/first-contribution@v4
+        with:
+          pr-opened-msg: |
+            ### Hey @{fc-author}! :tada:
+
+            Thanks for opening your first pull request! We appreciate your
+            contribution. Please ensure you have reviewed and understood the
+            [contributing guidelines](https://pvlib-python.readthedocs.io/en/latest/contributing/index.html).
+            
+            If AI is used for any portion of this PR, you must vet the content
+            for technical accuracy.

.github/workflows/welcome.yml

@@ -99,3 +99,8 @@ coverage.xml
 env
 results
 
+
+# Gas Town runtime
+.beads/
+.claude/
+.runtime/

.gitignore

@@ -15,7 +15,7 @@ def setup(self):
         lon = np.array((4.99, 5, 5.01))
         self.coordinates = np.array([(lati, loni) for
                                      (lati, loni) in zip(lat, lon)])
-        self.times = pd.date_range('2019-01-01', freq='1T', periods=self.n)
+        self.times = pd.date_range('2019-01-01', freq='1min', periods=self.n)
         self.positions = np.array([[0, 0], [100, 0], [100, 100], [0, 100]])
         self.clearsky_index = pd.Series(np.random.rand(self.n),
                                         index=self.times)

benchmarks/benchmarks/scaling.py

@@ -0,0 +1,28 @@
+name: test_env
+channels:
+    - defaults
+    - conda-forge
+dependencies:
+    - coveralls
+    - cython
+    - ephem
+    - h5py
+    # - numba  # not available for py 3.14 as of 2025-11-03
+    - numpy >= 1.21.2
+    - pandas >= 1.3.3
+    - pip
+    - pytest
+    - pytest-cov
+    - pytest-mock
+    - requests-mock
+    - pytest-timeout
+    - pytest-rerunfailures
+    - conda-forge::pytest-remotedata  # version in default channel is old
+    - python=3.14
+    - pytz
+    - requests
+    - scipy >= 1.7.2
+    - statsmodels
+    - pip:
+        # - nrel-pysam>=2.0  # not available for py 3.14 as of 2025-11-03
+        - solarfactors

ci/requirements-py3.14.yml

@@ -51,7 +51,7 @@
 25        1000         75.0  273.651
 26        1100         75.0  301.013
 '''
-df = pd.read_csv(StringIO(iec61853data), delim_whitespace=True)
+df = pd.read_csv(StringIO(iec61853data), sep=r"\s+")
 
 # %%
 #